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@jpata jpata released this 02 Oct 06:13
· 93 commits to main since this release
v1.6
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What's Changed

  • pin matplotlib due to breaking changes in mpl 3.8.0 by @jpata in #210
  • Update README_tf.md by @jpata in #209
  • Update README.md by @jpata in #213
  • implement GNN-LSH model in torch by @jpata in #211
  • small fixes for CMS training, torch onnx export by @jpata in #215
  • updates for v1.6 by @jpata in #219
    • Improve the training and evaluation recipe for the benchmark model provided in the paper. Addresses #217
    • fix #222
    • fix #220
    • if padded batching is used, compute number of steps naively, do not step through the dataset to get the number of steps
    • split the Delphes dataset clearly to ttbar and qcd, like the other datasets
    • regenerate the Delphes dataset using tfds with array_record
    • fix #225

Full Changelog: https://github.com/jpata/particleflow/commits/v1.6

Contributors

jpata
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